Key skills
AWSCloudGoogle Cloud PlatformPyTorchTensorflowMachine LearningMLLarge Language ModelsTensorFlowGCPGoogle CloudWorkdayMentoring
About this role
Role Overview
- Develop tailored user experiences using advanced LLMs and predictive analysis
- Collaborate to deliver ML solutions across product ecosystem
- Develop and deploy new products at scale
- Continuous improvement and quality focus
- Strong sense of ownership and teamwork
Requirements
- 10+ years experience in data science, machine learning engineering
- 4+ years of experience with Pytorch, TensorFlow
- 6+ years in building services to host ML models
- 3+ years with large language models and text generation
- 6+ years with cloud computing (AWS, GCP, etc.)
- Proven experience leading and mentoring ML Engineering teams
- Bachelor's (Master’s or PhD preferred) degree in relevant fields
Tech Stack
- AWS
- Cloud
- Google Cloud Platform
- PyTorch
- Tensorflow
Benefits
- Workday Bonus Plan
- Role-specific commission/bonus
- Annual refresh stock grants